Filtering Unwanted Messages from Online Social Networks (OSN) using Rule Based Technique

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1

Abstract

 Online Social Networks (OSNs) are today one of the most popular interactive medium to share, communicate, and distribute a significant amount of human life information. In OSNs, information filtering can  also be used for a different, more responsive, function. This is owing to the fact that in OSNs there is the  possibility of posting or commenting other posts on particular public/private regions, called in general walls.  Information filtering can therefore be used to give users the ability to automatically control the messages  written on their own walls, by filtering out unwanted messages. OSNs provide very little support to prevent  unwanted messages on user walls. For instance, Facebook permits users to state who is allowed to insert  messages in their walls (i.e., friends, defined groups of friends or friends of friends). Though, no content-based  partialities are preserved and therefore it is not possible to prevent undesired communications, for instance political or offensive ones, no matter of the user who posts them. To propose and experimentally evaluate an  automated system, called Filtered Wall (FW), able to filter unwanted messages from OSN user walls.

Authors and Affiliations

Sujapriya. S

Keywords

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  • EP ID EP88158
  • DOI -
  • Views 162
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How To Cite

Sujapriya. S (2014).  Filtering Unwanted Messages from Online Social Networks (OSN) using Rule Based Technique. IOSR Journals (IOSR Journal of Computer Engineering), 16(1), 66-70. https://europub.co.uk/articles/-A-88158